Senior ML Engineer - Offline Team
Core
Build and maintain ML training infrastructure powering ad-targeting models from data preprocessing through model deployment to production monitoring.
Role type
Senior IC machine-learning engineer (infrastructure & pipelines)
Builds
ML training infrastructure, data pipelines, and model serving systems for ad-targeting
Domain
Mobile gaming, advertising technology, machine learning
Deliverable
production ML models
Required skills
Python, PyTorch, scikit-learn, LightGBM, AWS, ML pipeline engineering, GPU workload orchestration, experiment tracking, model serving, performance optimization
Preferred skills
Model serving infrastructure (real-time/batch), feature store knowledge, training-serving skew mitigation
Technologies
Python, PyTorch, scikit-learn, LightGBM, DBT, Spark, MLflow, Prometheus, Terraform, Airflow, Kubernetes, Amazon Web Services
Responsibilities
Architect end-to-end ML projects from ideation to production; Build and optimize data and ML pipelines for performance and cost; Enable data scientists with reusable pipeline components; Contribute to deep learning development and custom training loops; Maintain reproducibility and consistency across the ML lifecycle; Collaborate on scalability, reliability, and CI/CD migrations; Mentor team members and share engineering knowledge
Seniority
Senior, hands-on IC
